Danny Goodman: Deep Learning for Technology Companies

Deep Learning is the most successful approach to machine learning from unstructured data. It has enjoyed a recent boom thanks to computing advances (eg GPUs) and the availability of large, labeled datasets. Danny will give a self-contained talk on deep learning, going from its definition and history through engineering examples, business uses, and a glimpse into the future. Topics will include:

• neural networks and their generalizations

• examples from vision, language, and other domains

• software architectures

• hardware costs

• recent research

• social and economic externalities

This talk is aimed at novices and practitioners alike.

Danny Goodman is a technical entrepreneur and consulting head of data Sourcegraph. He was previously Vice President of Platform at MetaMind, where he oversaw the launch of MetaMind's deep learning platform with state-of-the-art image and text understanding and scalable APIs. Prior to MetaMind, Danny was Director of Data Science at MetroMile. There, he led the creation of data-backed driver services, scaled the data pipeline 100x, filed 6 patents, and prevented millions of dollars in parking tickets with street sweeping alerts. Danny has an MS in Computer Science from Stanford, a BA in Math from Harvard, and was an ASP Fellow studying Machine Learning at MIT. He has 4 publications in machine learning and computational biology, and likes to play classical piano, blindfold chess, and outdoor sports.

Danny's presentation starts at 6:30 pm.

There's lots of free parking.

Drinks will be provided by BNY Mellon and dinner will be provided by 333 (http://www.333truck.com) starting at 6pm!

Dinner menu:

Korean Rice Bowl - Short Rib (beef), Spicy BBQ Chicken, & Mushroom Tofu (vegetarian)

Indian Rice Bowl - Lamb Curry, Chicken Tikka, & Paneer Tikka (vegetarian)

Can't attend in person? Watch the live event at https://livestream.com/pemo/deeplearningtech .